The Hidden Work: What You Should Not Miss in Your Process Mining Project

Abstract. Process mining is a popular, powerful approach to understanding how work is being carried out within organizations. It is important, however, to understand the limitations of the event logs that we usually rely on for our analysis. In this talk, I will identify some of the reasons that event logs do not capture the full picture of the work process we are interested in. I will illustrate these risks with a study that was undertaken within a professional services firm in the Netherlands. My talk will end with a set of guidelines that may help to reveal the hidden work after all.

Prof.dr.ir. H.A. (Hajo) Reijers is a full professor in the Department of Information and Computing Sciences of Utrecht University, the Netherlands, where he leads the Process Science group. He completed his PhD thesis while working as a manager with Deloitte. His work, which focuses on focuses on business process redesign, workflow management, conceptual modeling, process mining, and data analytics, has been cited more than 30,000 times. He is the vice-editor of the Business Information Systems Engineering journal, as well as a member of the steering committees of the BPM, CAiSE, and CoopIS conferences. 

Riley is a PhD Candidate working at the Semantic Technologies Lab at the University of Toronto under the supervision of professor Michael Gruninger. His work focuses on the use of knowledge representation methods to enhance the transparency, reasoning capabilities, and interoperability of process mining techniques. By bridging the gap between formal reasoning and real-world process data, his work enables more meaningful insights into complex organizational workflows. In addition to his research work, he brings extensive experience in data science and analytics, with applied contributions across a range of enterprise contexts, including financial process modeling at BMO and operational forecasting for Air Canada. 

From Migration to Governance: Leveraging Process Mining for Harmonization and Continuous Improvement at CIUSSS de l'Estrie-CHUS

Frédérick has over 20 years of experience in IT service management and process optimization. He holds a bachelor’s degree in electrical engineering and is certified as an ITIL Expert and Lean Six Sigma Green Belt. Throughout his career, he has led complex digital transformation initiatives across sectors, with a strong focus on aligning operations to industry best practices and leveraging data and technology to drive sustainable improvement.

He is the founder and president of P&S, a consulting firm specializing in Process Mining and operational excellence.

Soren has more than 30 years’ experience in the fields of software development, artificial intelligence, and machine learning.

He was Founder and CTO of iView Systems, a global award-winning software solutions company in the security and surveillance marketplace, which had a successful exit when it was acquire by Omnigo Software in 2017.

Driving Process Intelligence in Construction Projects through Process Mining: A Use Case for Automated RFI Process Performance Monitoring

Araham is a construction professional driving the digital transformation of the construction industry through innovative, state-of-the-art technologies and methodologies aimed at enhancing efficiency and automation in construction business operations throughout the entire life cycle of construction projects. Araham's current efforts focus on advancing process intelligence in construction projects by leveraging data-driven and AI-powered methods, integrating the latest ICT research developments with practical industry applications to address the persistent challenge of productivity stagnation in the construction sector.

Araham holds a bachelor’s degree in Civil Engineering and a master’s degree in Construction Management. He has over 10 years of experience in the construction industry, working on residential, industrial, institutional, and infrastructure projects. Currently, Araham is pursuing his doctoral degree as a PhD candidate in Building Engineering at Concordia University in Montreal, Canada. 

Alireza is a Master student in Digital Transformation and Innovation at the University of Ottawa. He is also an AI application developer at NRC.